SuperComputer for AI Agents

A virtual machine that lets agents write, run, and verify code without human help

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Integrations and Technology Providers

"Empowering developers and businesses to
unlock the full potential of AI agents"

From Agent to Execution

LLMs

Agent Generates Code (LLMs like Claude, GPT-4, Cursor)

MCP

Server Handles the Request via API or SDK

AVM

The AVM layer executes securely

OUTPUT

Returned: stdout, stderr, exit code, and metadata.

Get started

One Standard Interface

Works out-of-the-box with
any MCP-compatible model
(Claude, OpenAI & more)

Secure, Auditable Execution

Every job runs in a sandboxed
container with verifiable
outputs

Zero DevOps Overhead

Developers integrate in minutes,
no servers and no scaling

Parallel execution

Pay per run. Supports fiat,
X402 rails, and crypto Payments

No bottlenecks

No security risks

No resource constraints

No fragmented infastructure

From MVP to Global Execution Network

Q3 2025

Foundation

Goal: MVP dashboard + SDK

>_ Launch AVM MVP with core execution capabilities.
>_ Integrate with leading AI automation platforms via MCP.
>_ Establish security, monitoring, and developer support infrastructure.

Q4 2025

Expansion

Goal: 1,000 developers

>_ Add support for multiple programming languages beyond Python and Typescript.
>_ Implement real-time analytics and reporting dashboards.
>_ Initiate ecosystem grants and strategic partnerships.

Q1-Q2 2026

Decentralization

Goal: Permissionless node network (+100 nodes)

>_ Transition to a decentralized execution network.
>_ Enable tokenized incentives for compute providers under the MCP standard.
>_ Launch DAO governance modules for protocol parameter management.

Q3-Q4 2026

Scaling

Goal: 10,000 users, ecosystem integration

>_ Launch full-scale marketing and adoption campaigns.
>_ Expand infrastructure for global AI agent networks.
>_ Continuously optimize performance; introduce advanced features (GPU support, dynamic load balancing).

2027 - Q3 2028

Consolidation

Goal: Global agent-native marketplace, 40,000+ users

>_ Cement AVM as the global backbone for AI execution.
>_ Launch the personal computer for autonomous agents.
>_ Establish an agent-native marketplace for compute and automation tools.
>_ Unlock the next era of agent-based computing.

FAQ

What is AVM, and who is it for?

AVM (Agent Virtual Machine) is a secure, scalable execution layer for AI agents. It lets agents run code autonomously—without centralized infrastructure or DevOps. It’s built for developers, startups, and anyone building with LLMs or autonomous agents.

How does AVM work with AI models
like Claude or GPT-4?

AVM uses the Model Context Protocol (MCP) to expose a standard run_code interface to LLMs.
Any agent that supports tool use or function calling can securely send code to AVM,
which runs it in an isolated container and returns structured output.

Can I test AVM for free?

Yes! Every account starts with 10,000 free credits to test your agents. No payment required, just sign up and start executing.

How can I pay for AVM when I run out of credits?

You can top up your credits at any time using fiat (via Stripe), crypto.Just choose the pack that fits your usage. No subscription, no lock-in. You only pay for what your agents run.

What kind of use cases can
AVM handle?

AVM supports tasks like:

- Code evaluation and grading
- Data scraping and transformation
- E-commerce automations
- On-chain analytics: Anything your agent can code, AVM can execute—safely and at scale.